Senior Data Engineer: Remote Databricks & Data Platforms

Motion Recruitment; Chicago (IL); Remote; USD 120,000 - 180,000; Full time

Benefits offered by this job

Fully remote

Bonus eligible

401(k) Program

Medical, Dental, and Vision Insurance

Job summary

Motion Recruitment is seeking a data engineer to join a rapidly growing data and AI consulting organization. This is a fully remote, full-time role focusing on building scalable data solutions using Databricks, Python, and cloud data engineering practices for enterprise clients.

You will work on high-impact data modernization projects, helping redesign legacy architectures and driving end-to-end analytics initiatives with strong stakeholder collaboration.

Qualifications

• 1–8 years of Data Engineering experience.
• Hands-on experience with Databricks.
• Strong Python development experience.
• Experience building and maintaining data pipelines.
• Excellent verbal and written communication skills.
• Experience working directly with business stakeholders.
• Authorization to work in the United States.

Responsibilities

• Design and build scalable data pipelines on Databricks.
• Develop Python-based data processing workflows and PySpark jobs.
• Collaborate with stakeholders to translate requirements into data solutions.
• Contribute to architecture decisions and data modeling.
• Support enterprise-scale data warehouse modernization initiatives.

Skills

Databricks

Python

Data engineering

Data pipelines

Verbal and written communication

Stakeholder interaction

US work authorization

Tools

PySpark

Databricks platform

Cloud platforms (AWS/GCP/Azure)

Job description

Motion Recruitment is seeking a data engineer to join a rapidly growing data and AI consulting organization. This is a fully remote, full-time role focusing on building scalable data solutions using Databricks, Python, and cloud data engineering practices for enterprise clients.

You will work on high-impact data modernization projects, helping redesign legacy architectures and driving end-to-end analytics initiatives with strong stakeholder collaboration.